Neighbour Pixel Color Correlativity On Image Steganalysis

Steganalysis is science of discovering presence of secretively embedded data within the potential carriers. Since images are one of the most commonly used digital media on networks, they grab less attention than other digital media types. As a result, images are very appropriate cover for concealing...

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Main Author:	Jabbar, Alaa Abdulhussein
Format:	Thesis
Language:	English
Published:	2015
Subjects:	T Technology (General)
Online Access:	http://eprints.utem.edu.my/id/eprint/16873/1/Neighbour%20Pixel%20Color%20Correlativity%20On%20Image%20Steganalysis.pdf
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id	my-utem-ep.16873
record_format	uketd_dc
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English
advisor	Sahib@Sahibuddin, Shahrin
topic	T Technology (General) T Technology (General)
spellingShingle	T Technology (General) T Technology (General) Jabbar, Alaa Abdulhussein Neighbour Pixel Color Correlativity On Image Steganalysis
description	Steganalysis is science of discovering presence of secretively embedded data within the potential carriers. Since images are one of the most commonly used digital media on networks, they grab less attention than other digital media types. As a result, images are very appropriate cover for concealing presence of secret data transmission. Insertion of external data degrades the natural color correlativity among the pixels. Statistical steganalysis is an effective approach for discovering the generated anamolies through embedding process in content of images. Various statistical steganalysis techniques have been designed to discover presence of embedding artifacts and anomalies. However, the current practices are not efficient enough for detection of steganography. To overcome the problem, this research proposes a novel statistical steganalysis technique which efficienctly detects data embedding. Since this method statistically examines the suspicious carriers then it has more capability in distinguishing effects of new steganographic techniques. Color correlativity among image pixels varies based on image content and data embedding degrades this natural correlativity. This research classifies images in four image themes and then studies their behaviors after data embedding in different embedding ratios. The proposed method examines color correlativity of pixels of the given image with the neighbor pixels and then compares the results with the extracted color correlativity behavioral patterns. The most similar color correlativity behavioral pattern determines image theme of the analyzed image and its embedding ratio. Efficiency evaluation of the designed color correlativity statistical steganalysis method shows outstanding efficiency ehancement in comparison with the current practices. The designed technique efficiently determines both image theme and embedding ratio. The efficiency dramatically increases in detecting either of image theme or estimating message length.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Jabbar, Alaa Abdulhussein
author_facet	Jabbar, Alaa Abdulhussein
author_sort	Jabbar, Alaa Abdulhussein
title	Neighbour Pixel Color Correlativity On Image Steganalysis
title_short	Neighbour Pixel Color Correlativity On Image Steganalysis
title_full	Neighbour Pixel Color Correlativity On Image Steganalysis
title_fullStr	Neighbour Pixel Color Correlativity On Image Steganalysis
title_full_unstemmed	Neighbour Pixel Color Correlativity On Image Steganalysis
title_sort	neighbour pixel color correlativity on image steganalysis
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty Of Information And Communication Technology
publishDate	2015
url	http://eprints.utem.edu.my/id/eprint/16873/1/Neighbour%20Pixel%20Color%20Correlativity%20On%20Image%20Steganalysis.pdf
_version_	1747833905137844224
spelling	my-utem-ep.168732020-11-11T09:04:18Z Neighbour Pixel Color Correlativity On Image Steganalysis 2015 Jabbar, Alaa Abdulhussein T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Steganalysis is science of discovering presence of secretively embedded data within the potential carriers. Since images are one of the most commonly used digital media on networks, they grab less attention than other digital media types. As a result, images are very appropriate cover for concealing presence of secret data transmission. Insertion of external data degrades the natural color correlativity among the pixels. Statistical steganalysis is an effective approach for discovering the generated anamolies through embedding process in content of images. Various statistical steganalysis techniques have been designed to discover presence of embedding artifacts and anomalies. However, the current practices are not efficient enough for detection of steganography. To overcome the problem, this research proposes a novel statistical steganalysis technique which efficienctly detects data embedding. Since this method statistically examines the suspicious carriers then it has more capability in distinguishing effects of new steganographic techniques. Color correlativity among image pixels varies based on image content and data embedding degrades this natural correlativity. This research classifies images in four image themes and then studies their behaviors after data embedding in different embedding ratios. The proposed method examines color correlativity of pixels of the given image with the neighbor pixels and then compares the results with the extracted color correlativity behavioral patterns. The most similar color correlativity behavioral pattern determines image theme of the analyzed image and its embedding ratio. Efficiency evaluation of the designed color correlativity statistical steganalysis method shows outstanding efficiency ehancement in comparison with the current practices. The designed technique efficiently determines both image theme and embedding ratio. The efficiency dramatically increases in detecting either of image theme or estimating message length. 2015 Thesis http://eprints.utem.edu.my/id/eprint/16873/ http://eprints.utem.edu.my/id/eprint/16873/1/Neighbour%20Pixel%20Color%20Correlativity%20On%20Image%20Steganalysis.pdf text en public http://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=96313 phd doctoral Universiti Teknikal Malaysia Melaka Faculty Of Information And Communication Technology Sahib@Sahibuddin, Shahrin 1. Abbas, F. M., 2010. A Novel Steganography-Cryptography System. In: WCECS, Proceedings of world congress on engineering and computer science, San Francisco, 20- 22 Oct 2010. WCECS. 2. Abduallah, W. M., Rahma, A. M. S., and Pathan, A. K., 2014. 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Neighbour Pixel Color Correlativity On Image Steganalysis

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